Adaptive energy management strategy for hydrogen fuel cell trams taking into account driving styles
In semi-independent right-of-way operation mode,the driver's driving style of a hydrogen fuel cell hybrid electric tram has a great impact on the vehicle's operation economy by influencing the state of charge of the lithium battery.An adaptive energy management strategy combining drivers'driving styles was proposed to improve the adaptability of the energy management strategy to working conditions and driving styles.First,considering the influence of different road conditions on drivers'driving styles,the K-means clustering algorithm was used to identify driving conditions,and driving conditions were divided into low-speed,medium-speed,and high-speed.The impact degree and the standard deviation of acceleration were introduced to construct the fuzzy logic algorithm to identify the driving style,and the driving style was divided into moderate,standard,and aggressive.Second,by taking the optimal instantaneous hydrogen consumption of the system as the objective function,under the premise of meeting the constraint conditions,the correction coefficient of the equivalent factor of the charged state of the lithium battery was introduced,and the corresponding equivalent factor in the traditional equivalent hydrogen consumption minimization strategy was adjusted according to different driving styles so as to realize the real-time change of the equivalent factor with the driving style.Finally,the proposed strategy was compared with the traditional Equivalent Consumption Minimization Strategy and Minimum Principle.The results show that the proposed strategy can achieve the optimal power distribution of the three power sources in the selected working conditions.Compared with the other two strategies,the charge state fluctuation curves of the lithium battery and supercapacitor are the smoothest.At the end of the driving range,the hydrogen consumption of the hybrid system is 1.39 kg,which has the best fuel economy.The maximum deviation rate of bus voltage is minimal,the three power sources are stable,and the system stability is strong.The research results provide a reference for further improving the driving adaptability of trams in actual operation.
hybrid tramdriving styleworking condition recognitionadaptive energy management strategypower distribution
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